Bootstrapped Software Valuation Multiples: The Data Behind the Number

Every credible valuation multiple has a paper trail. When a buyer offers "6x EBITDA" for a software business, that number did not appear from intuition: it descends from publicly observable multiples on comparable listed companies, adjusted down for everything a bootstrapped business is that a public company is not. This article walks the full chain from the named public source to a defensible private number, and embeds the worked range from a real engine so the math cannot drift from the prose.

1. Where a multiple actually comes from

A valuation multiple is shorthand for a discounted-cash-flow argument. "6x EBITDA" is a compressed way of saying: given this business's growth, margin, risk, and reinvestment needs, a buyer expects to recover their money over roughly six years of current earnings, plus upside. You can derive that from first principles, but in practice almost everyone anchors on observed multiples in comparable transactions, then adjusts.

The honest version of the derivation has three steps:

• Start from a public benchmark. What are buyers paying, per dollar of revenue or earnings, for comparable companies you can actually observe? Listed-company sector data is the cleanest public source.
• Apply a private-company discount. A bootstrapped business is smaller, less liquid, less diversified, and more founder-dependent than a public company. Each of those compresses the multiple.
• Reconcile across bases. Compute revenue, SDE, and EBITDA multiples separately, then blend. A single base in isolation either flatters or punishes the number.

Skipping step one is how sellers end up quoting a 2021-peak multiple on 2026 financials. Skipping step two is how they quote a public-company multiple on a private business. Both fail in due diligence.

2. The public benchmark: Damodaran's sector data

The standard public benchmark is Aswath Damodaran's sector-multiples dataset, published free on his NYU Stern faculty pages and refreshed annually (the current vintage is labelled as of January 2026)^[3]. It is the most frequently cited public source for sector multiples precisely because it is transparent, free, and updated on a predictable cadence.

For software, the January 2026 vintage reports (US listed firms):

• Software (System & Application): EV/EBITDA 24.48x, EV/EBIT 32.41x^[1]; EV/Sales 11.41x, Price/Sales 11.01x^[2].
• Software (Internet): EV/EBITDA 30.26x^[1]; EV/Sales 9.56x^[2].
• Total Market (all US firms): EV/EBITDA 19.73x^[1]; EV/Sales 3.97x^[2].

Two things matter here. First, software trades at a premium to the broad market on both bases (24.48x vs 19.73x on EBITDA; 11.41x vs 3.97x on sales) because investors price its scalability and margin structure. Second, and this is the part founders skip: the EV/EBITDA figure is computed only across listed firms with positive EBITDA. It describes companies that are large, liquid, audited, and run by management teams. A bootstrapped SaaS at $600k revenue is the opposite of every one of those.

So Damodaran's 24.48x is the correct ceiling, not the correct multiple. It tells you what the asset class commands at the top of the size-and-liquidity ladder. The job is to walk it down.

3. The private-company discount, step by step

Four discounts separate a public software multiple from a bootstrapped one. They stack, which is why the net effect is large.

• Size. A $600k-revenue business cannot be compared to a $500M one. Smaller firms carry more idiosyncratic risk per dollar of earnings and have fewer buyers, which compresses the multiple before anything else is considered.
• Illiquidity (marketability). A public-company shareholder can sell in seconds. A private-business owner runs a 6-to-12-month sale process with no guarantee of a buyer. The discount for lack of marketability is a well-established adjustment and is material at this size.
• Customer concentration. Public software companies have thousands of customers. A bootstrapped SaaS often has its top handful of accounts representing a large slice of revenue. Concentration is a direct, quantifiable risk a buyer prices in.
• Key-person dependence. If the founder is the product, the support, and the sales team, the business may not transfer cleanly. Buyers either discount heavily or require a retention/earn-out structure.

These discounts commonly remove 60-80% of the public multiple for a small, profitable, owner-operated software business. Damodaran's 24.48x public EBITDA multiple discounted ~75% lands around 6x, which is squarely inside the 4x-7x range that profitable bootstrapped SaaS businesses actually transact at. That is the multiple we carry into the worked example, with the chain of reasoning behind it rather than a number pulled from the air.

4. Worked example: a $600k-revenue bootstrapped SaaS

Scenario: a bootstrapped, profitable B2B SaaS. Annual revenue $600,000. Seller's Discretionary Earnings (SDE) $280,000 (the founder's all-in cash benefit). EBITDA $220,000 (lower than SDE because EBITDA does not add back the founder's salary). We apply private multiples derived above, not public ones: 2.5x revenue, 3.5x SDE, and 6.0x EBITDA (Damodaran's 24.48x public EBITDA multiple, discounted roughly 75% for size, illiquidity, concentration, and key-person risk).

The engine returns three method midpoints: Revenue Multiple 2.5x × $600,000 = $1,500,000 ($1,125,000 to $1,875,000); SDE Multiple 3.5x × $280,000 = $980,000 ($784,000 to $1,176,000); EBITDA Multiple 6.0x × $220,000 = $1,320,000 ($1,056,000 to $1,584,000). The blended midpoint is $1,266,667 on a $988,333 to $1,545,000 range.

Notice what the chain produced. The EBITDA midpoint of $1,320,000 is not a guess: it is Damodaran's named public benchmark (24.48x), discounted to a private 6.0x with documented reasons, applied to a real earnings figure. A buyer can challenge the discount, but they cannot say the number came from nowhere. That is the entire point of building the multiple from a named source.

5. Revenue multiple vs earnings multiple

The example deliberately runs all three bases because each answers a different buyer's question, and the gap between them is the negotiation.

The revenue multiple ($1,500,000) is the highest because it ignores profitability entirely. That framing suits a strategic acquirer who cares about the customer base and growth trajectory more than current cash flow. Damodaran's public software EV/Sales of 11.41x^[2] is the public ceiling here; the private 2.5x is the same source discounted for the same four reasons.

The EBITDA multiple ($1,320,000) is the most defensible base for a profitable bootstrapped business, because it prices the cash a buyer keeps after paying market-rate management. The SDE multiple ($980,000) is the operator-buyer's lens: it adds the founder's salary back, but operator-buyers also apply the tightest discounts because they are buying a job plus an asset.

The honest reading: leading with the $1,500,000 revenue number alienates earnings-focused buyers, while leading with the $980,000 SDE number leaves money on the table with strategic buyers. The blended $1,266,667 is the asking number that survives any buyer's framing. The deeper treatment of which base to lead with by profile is in the revenue vs SDE vs EBITDA article^[5].

6. How to anchor a number you can defend

A multiple you can defend in due diligence has three properties, all visible in the worked example.

It names its public source. "6x EBITDA" defended as "Damodaran's January 2026 software EV/EBITDA of 24.48x, discounted ~75% for size, illiquidity, concentration, and key-person risk" is a position a buyer can engage with. A bare "6x" is a position they can only haggle.

It documents the discount. The four discounts are not hand-waving; each maps to a question a buyer will ask in diligence. Pre-answering them with the multiple already reflecting the risk is far stronger than conceding them one at a time under pressure.

It reconciles across bases. Computing revenue, SDE, and EBITDA multiples and blending them is what produces the $1,266,667. A single base is either the seller's best case or the buyer's best case; the blend is the number both can map to their preferred lens. The blended-range methodology is documented at the Business Valuation Calculator methodology page^[4].

The Damodaran dataset will refresh again, typically next January, and the public software multiple will move with the market. The chain does not change: name the current public benchmark, apply the private discount with documented reasons, reconcile across bases, and quote the blend. A number built that way is one you can stand behind across the table.

Frequently asked questions

What EBITDA multiple should a bootstrapped software business use?

Not the public-company multiple. NYU Stern's Damodaran dataset (data as of January 2026) puts Software (System & Application) at 24.48x EV/EBITDA for listed firms with positive EBITDA, against a 19.73x total-market figure. Those are large, liquid, audited public companies. A bootstrapped software business at $1-2M revenue is none of those things, so the public multiple gets discounted heavily for size, illiquidity, customer concentration, and key-person dependence. The defensible private range for a profitable bootstrapped SaaS is roughly 4x to 7x EBITDA, not 24x. In the worked example a 6.0x EBITDA multiple on $220,000 EBITDA produces a $1,320,000 midpoint.

Why can't I just use Damodaran's software multiple directly?

Because Damodaran's sector multiples are computed from publicly traded companies. The EV/EBITDA of 24.48x for software systems reflects firms that are liquid (you can sell the stock tomorrow), large (tens to hundreds of millions in revenue), audited, and run by a management team that survives the founder leaving. A bootstrapped business fails all four tests, so a private buyer applies discounts that commonly remove 60-80% of the public multiple. Damodaran's data is the right starting anchor, not the answer. Use it to establish the ceiling, then discount.

Should a bootstrapped SaaS use a revenue multiple or an earnings multiple?

Both, then reconcile. Revenue multiples (Damodaran lists Software (System & Application) at 11.41x EV/Sales for public firms) suit high-growth or pre-profit businesses; earnings multiples (SDE or EBITDA) suit profitable owner-operated ones. For a profitable bootstrapped SaaS, the earnings multiple is the more defensible base because it prices the cash the buyer actually keeps. In the worked example the 2.5x private revenue multiple gives a $1,500,000 midpoint while the 6.0x EBITDA multiple gives $1,320,000 — close enough that the blended $1,266,667 is the honest asking number.

Does Damodaran update these multiples, and are they free?

Yes and yes. Damodaran (NYU Stern) refreshes the US sector datasets annually, typically in January, and publishes them free on his Stern faculty pages. The current vintage is labelled as of January 2026. The datasets are widely cited precisely because they are public, methodologically transparent, and updated on a predictable cadence, which is why they are the standard public benchmark even though they skew toward large listed firms.